CN107590508A - A kind of mcg-signalses adaptive processing method and system - Google Patents
A kind of mcg-signalses adaptive processing method and system Download PDFInfo
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Abstract
The present invention provides a kind of mcg-signalses adaptive processing method and system, to obtain mcg-signalses；The extraction R peak dots with reference to electrocardiosignal corresponding with the mcg-signalses；The mcg-signalses are carried out monocycle segmentation by point on the basis of the R peak dots, to form heart magnetic single-revolution ripple sample；The heart magnetic single-revolution ripple sample is subjected to hierarchical clustering, and extracts the effective heart magnetic cycle ripple for meeting default selection condition from the heart magnetic single-revolution ripple sample by default cluster numbers, and the effectively heart magnetic cycle ripple is averaging processing.The present invention can effectively identify the cycle significantly interfered with mcg-signalses, substantially inhibit the influence that external interference is brought, more really reflect actual mcg-signalses feature, hierarchical clustering is carried out by the cluster numbers of determination, obtain the heart magnetic cycle ripple of maximum similarity, it is averaging processing, the final average signal obtained closer to true heart magnetic.
Description
Technical field
The present invention relates to mobile communication technology field, more particularly to a kind of mcg-signalses adaptive processing method and is
System.
Background technology
Magnetocardiograph has irreplaceable application value in heart disease diagnosis, prevention and functional study etc., wherein
The magnetic flux transducer for measuring cardiac magnetic field is superconducting quantum interference device (SQUID) (Superconducting Quantum Interference
Device, SQUID), there is very high sensitivity.
Magnetocardiograph different environment and the time collection under, be generally mingled with mcg-signalses white noise, nonwhite noise,
External environmental interference, from the interference noise such as signal change in itself and local signal be abnormal.Can be by one by pretreatment
Divide interference noise to reject, but still some such as pulses, the disturbance occurred at random and local significant signal burr stubbornness be present
Noise.In order to eliminate the influence that these interference noises are judged diagnosis, multicycle average treatment is widely used in magnetocardiograph
In signal transacting.
Need to improve the quality of periodic signal during processing of biomedical signals, usually using averaging method, this
It is also widely used in mcg-signalses pretreatment.By gathering synchronous electrocardiosignal, using the R peaks of electrocardiosignal as datum mark
It is average to carry out monocycle segmentation, current the most frequently used method is mainly that the heart magnetic cycle ripple split is averaging processing, the party
Method does not weed out interference cycle so that these obstinate noises are directly entered in average result, cause distorted signals.
Therefore, the highest priority that heart magnetic average signal quality is art technology is improved, to later stage imaging data point
There is highly important meaning in terms of analysis.
The content of the invention
In view of the above the shortcomings that prior art, it is an object of the invention to provide a kind of mcg-signalses self-adaptive processing
Method and system, for solving the problems, such as effectively reject noise jamming in mcg-signalses in the prior art.
In order to achieve the above objects and other related objects, the present invention provides a kind of mcg-signalses adaptive processing method, bag
Include：Obtain mcg-signalses；The extraction R peak dots with reference to electrocardiosignal corresponding with the mcg-signalses；On the basis of the R peak dots
The mcg-signalses are carried out monocycle segmentation by point, to form heart magnetic single-revolution ripple sample；The heart magnetic single-revolution ripple sample is carried out
Hierarchical clustering, and the effective heart for meeting default selection condition is extracted from the heart magnetic single-revolution ripple sample by default cluster numbers
Magnetic cycle ripple.
In a specific embodiment, the effectively heart magnetic cycle ripple is averaging processing, obtains average mcg-signalses.
In a specific embodiment, the similarity of the default selection condition including heart magnetic cycle ripple reach first threshold and/
Or the quantity of heart magnetic cycle ripple reaches Second Threshold.
In a specific embodiment, the cluster numbers C and heart magnetic cycle wave number N total in the heart magnetic single-revolution ripple sample pass
It is for C≤0.35*N+1.
In a specific embodiment, the mcg-signalses are the number of edges at the mcg-signalses whole story both ends for casting out acquired original
According to what is obtained after section.
In order to achieve the above objects and other related objects, the present invention also provides a kind of mcg-signalses adaptive processing system,
The system includes：Signal acquisition module, to obtain mcg-signalses；Peak dot extraction module, believe to extract with the heart magnetic
The R peak dots of electrocardiosignal are referred to corresponding to number；Heart magnetic single-revolution ripple sample forms module, to according to point on the basis of the R peak dots
The mcg-signalses are subjected to monocycle segmentation, to form heart magnetic single-revolution ripple sample；Presetting module, to a default cluster numbers with
And the default selection condition met needed for effective heart magnetic cycle ripple is extracted from the heart magnetic single-revolution ripple sample；Heart magnetic cycle ripple handles mould
Block, the heart magnetic single-revolution ripple sample is carried out into hierarchical clustering, and by the default cluster numbers from the heart magnetic single-revolution
Extraction meets effective heart magnetic cycle ripple of the default selection condition in ripple sample.
In a specific embodiment, the heart magnetic cycle ripple processing module also to it is described effectively heart magnetic cycle ripple be averaged
Processing, obtain average mcg-signalses.
In a specific embodiment, the similarity of the default selection condition including heart magnetic cycle ripple reach first threshold and/
Or the quantity of heart magnetic cycle ripple reaches Second Threshold.
In a specific embodiment, the cluster numbers C and heart magnetic cycle wave number N total in the heart magnetic single-revolution ripple sample pass
It is for C≤0.35*N+1.
In a specific embodiment, the mcg-signalses are the number of edges at the mcg-signalses whole story both ends for casting out acquired original
According to what is obtained after section.
As described above, the mcg-signalses adaptive processing method and system of the present invention, to obtain mcg-signalses；Extraction with
With reference to the R peak dots of electrocardiosignal corresponding to the mcg-signalses；Point is carried out the mcg-signalses single on the basis of the R peak dots
Period divisions, to form heart magnetic single-revolution ripple sample；The heart magnetic single-revolution ripple sample is subjected to hierarchical clustering, and by default poly-
Class number extracts the effective heart magnetic cycle ripple for meeting default selection condition from the heart magnetic single-revolution ripple sample, and to the effectively heart magnetic
Cycle is averaging processing.The present invention can effectively identify the cycle significantly interfered with mcg-signalses, hence it is evident that inhibit extraneous dry
The influence brought is disturbed, more really reflects actual mcg-signalses feature, hierarchical clustering is carried out by the cluster numbers of determination,
The heart magnetic cycle ripple of maximum similarity is obtained, is averaging processing, the final average signal obtained closer to true heart magnetic.
Brief description of the drawings
Fig. 1 is shown as the schematic flow sheet of the mcg-signalses adaptive processing method of the present invention in one embodiment.
Fig. 2 is shown as the multicycle mcg-signalses schematic diagram measured in a specific embodiment.
Fig. 3 is shown as electrocardiosignal schematic diagram synchronous with mcg-signalses shown in Fig. 2 in a specific embodiment.
Fig. 4 is shown as putting the original heart magnetic cycle split in a specific embodiment on the basis of with reference to electrocardiosignal R peaks
Ripple sample schematic diagram.
The original heart magnetic cycle ripple sample that Fig. 5 is shown as shown in Fig. 4 passes through effective heart magnetic cycle ripple that hierarchical clustering chooses
Schematic diagram.
Fig. 6 is shown as the different average signal result schematic diagrames of mcg-signalses in a specific embodiment.
Fig. 7 is shown as the multicycle mcg-signalses schematic diagram measured in a specific embodiment.
Fig. 8 is shown as electrocardiosignal schematic diagram synchronous with mcg-signalses shown in Fig. 7 in a specific embodiment.
Fig. 9 is shown as putting the original heart magnetic cycle split in a specific embodiment on the basis of with reference to electrocardiosignal R peaks
Ripple sample schematic diagram.
The original heart magnetic cycle ripple sample that Figure 10 is shown as shown in Fig. 9 passes through effective heart magnetic cycle ripple that hierarchical clustering chooses
Schematic diagram.
Figure 11 is shown as the multicycle mcg-signalses schematic diagram measured in a specific embodiment.
Figure 12 is shown as electrocardiosignal schematic diagram synchronous with mcg-signalses shown in Fig. 7 in a specific embodiment.
Figure 13 is shown as putting the original heart magnetic cycle split in a specific embodiment on the basis of with reference to electrocardiosignal R peaks
Ripple sample schematic diagram.
The original heart magnetic cycle ripple sample that Figure 14 is shown as shown in Figure 13 passes through effective heart magnetic cycle that hierarchical clustering chooses
Ripple schematic diagram.
Figure 15 is shown as the module diagram of the mcg-signalses adaptive processing system of the present invention in one embodiment.
Component label instructions
10 mcg-signalses adaptive processing methods
11~14 steps
20 mcg-signalses adaptive processing systems
21 signal acquisition modules
22 peak dot extraction modules
23 heart magnetic single-revolution ripple samples form module
24 presetting modules
25 heart magnetic cycle ripple processing modules
Embodiment
Embodiments of the present invention are illustrated by particular specific embodiment below, those skilled in the art can be by this explanation
Content disclosed by book understands other advantages and effect of the present invention easily.
In described below, refer to the attached drawing, accompanying drawing describes some embodiments of the present invention.It should be appreciated that also it can be used
Other embodiment, and can be carried out in the case of without departing substantially from spirit and scope of the present disclosure mechanical composition, structure, electrically with
And the detailed description below operational change should not be considered limiting, and the scope of embodiments of the invention
Only terms used herein are limited by the claims for the patent announced merely to describing specific embodiment, and be not
It is intended to the limitation present invention.The term of space correlation, for example, " on ", " under ", "left", "right", " following ", " lower section ", " bottom ",
" top ", " top " etc., it can use in the text in order to illustrate an element shown in figure or feature and another element or spy
The relation of sign.
Although the grade of term first, second is used for describing various elements herein in some instances, these elements
It should not be limited by these terms.These terms are only used for making a distinction an element with another element.For example, first is pre-
If threshold value can be referred to as the second predetermined threshold value, and similarly, the second predetermined threshold value can be referred to as the first predetermined threshold value, and
The scope of various described embodiments is not departed from.First predetermined threshold value and predetermined threshold value are to describe a threshold value, still
Unless context otherwise explicitly points out, otherwise they are not same predetermined threshold values.Similar situation also includes first
Volume and the second volume.
Furthermore as used in herein, singulative " one ", "one" and "the" are intended to also include plural shape
Formula, unless having opposite instruction in context it will be further understood that term "comprising", " comprising " show described spy be present
Sign, step, operation, element, component, project, species, and/or group, but it is not excluded for other one or more features, step, behaviour
Work, element, component, project, the presence of species, and/or group, appearance or addition term "or" used herein and "and/or" quilt
Be construed to inclusive, or mean any one or any combinations therefore, " A, B or C " or " A, B and/or C " mean " with
Descend any one：A；B；C；A and B；A and C；B and C；A, B and C " are only when element, function, step or the combination of operation are in some sides
When inherently mutually exclusive under formula, the exception of this definition just occurs.
Referring to Fig. 1, Fig. 1 is shown as the stream of the mcg-signalses adaptive processing method of the present invention in one embodiment
Journey schematic diagram.The mcg-signalses adaptive processing method 10 comprises the following steps：
11：Obtain mcg-signalses；In a specific embodiment of the invention, after the mcg-signalses are obtained, cast out described
The edge data section at mcg-signalses whole story both ends, to avoid imperfect cycle.
12：The extraction R peak dots with reference to electrocardiosignal corresponding with the mcg-signalses；Wherein, electrocardiogram is by a series of
Ripple group formed, each ripple group represents each cardiac cycle.One ripple group includes P ripples, QRS complex, T and involves U ripples.See
Electrocardiogram is first it is to be understood that meaning representated by each ripple.And typical QRS complex includes three closely coupled ripples, first
Downward ripple is referred to as Q ripples, and the upright ripple of the high point of after Q ripples is referred to as R ripples, and wherein R peak dots are the peak point of the R ripples, R
Ripple backward under ripple be referred to as S ripples.Because its is closely coupled, and ventricle electricity ignition process is reflected, therefore be referred to as QRS complex.This
Wave group reflects left and right biventricular process of depolarization.R ripples have obvious raising and lowering waveform in QRS complex, can obtain very well
R crest values position is taken, it is R ripples to obtain maximum by second differnce.
13：The mcg-signalses are carried out monocycle segmentation by point on the basis of the R peak dots, to form heart magnetic single-revolution ripple sample
This；The R peak dots obtained with electrocardiogram the phase and take average between calculating RR, for determining cardiac cycle length Nperiod, then carry out R
Wave crest point top n data, M data after R wave crest points, N+M+1=Nperiod altogether, according to ECG P QRST feature distributions and
Consulting literatures, N typically take Cycle Length Nperiod 1/3, M typically to take the 2/3 of Cycle Length Nperiod, can be by electrocardiogram
Most key characters all cover.Monocycle point is carried out to the heart magnetic of synchronous acquisition by the positional information that electrocardiogram obtains
Cut, so as to form heart magnetic single-revolution ripple sample.
14：The heart magnetic single-revolution ripple sample is subjected to hierarchical clustering, and by default cluster numbers from the heart magnetic single-revolution
Extraction meets effective heart magnetic cycle ripple of default selection condition in ripple sample.
In a specific embodiment of the invention, after the effectively heart magnetic cycle ripple is obtained, also to the effectively heart magnetic
Cycle is averaging processing, and obtains average mcg-signalses.
In a specific embodiment of the invention, the similarity that the default selection condition includes heart magnetic cycle ripple reaches the first threshold
Value and/or the quantity of heart magnetic cycle ripple reach Second Threshold, it is preferred that the first threshold is in a specific implementation, for example, phase
It is maximum like degree, and the Second Threshold is, for example, that quantity is most.
Cluster numbers determine the degree that signal behavior is rejected, and traditional system of selection is to use an evaluation index, will be clustered
Number is represented total heart magnetic cycle ripple sample number, is seen that evaluation index optimal value position is preferable clustering number by 1 to N change, N.For
Mcg-signalses, everyone and the mcg-signalses quality each put are each different.In line with by maximum similarity in heart magnetic cycle ripple
Waveform cluster chooses, while the simply uncomplicated principle design of algorithm is as follows：
Assuming that effectively heart magnetic cycle wave number is Y, total heart magnetic cycle ripple sample number N, cluster numbers C, according to the result of many experiments,
Effective total heart magnetic sample number N >=0.65 of heart magnetic cycle wave number Y/, you can judge that the mcg-signalses of collection can use.Hierarchical clustering classification
In to have one kind to account for most most, such can most reflect heart magnetic feature.Different degrees of interference waveform change be present in remaining C-1 classes,
Assuming that at least each classification has bars ownership in C-1 classes, then have with lower inequality：
Y/N≥0.65； (1)
Y<N； (2)
(C-1) * 1+Y=N； (3)
By three above inequality, inequality can be obtained：C≤0.35*N+1.
Wherein, if cluster numbers C selections are too small, and the dessert magnetic disturbance is more, ropy mcg-signalses will be also returned
Go forward side by side in effective heart magnetic cycle ripple to be averaged；If cluster numbers C selections are excessive, not only cycle is disturbed to reject, and by some
Eliminated in the lump Deng mcg-signalses.Consider, would rather cluster numbers selection it is big, leave the more preferable part of uniformity in waveform and enter
Row is average, therefore, in one embodiment of the present invention, cluster numbers C selection higher limit 0.35*N+1 processing.
After cluster numbers C is determined, step S11~step S14 processing is carried out to every mcg-signalses, will cluster what is obtained
Similarity maximum heart magnetic cycle wave number obtains final average mcg-signalses according to being averaged.
Now the mcg-signalses adaptive processing method of the present invention is further detailed with specific test case.Specifically
, Fig. 2 is shown as the multicycle mcg-signalses schematic diagram measured in a specific embodiment；Fig. 3 is shown as in a specific embodiment
The electrocardiosignal schematic diagram synchronous with mcg-signalses shown in Fig. 2.Fig. 2 is true mcg-signalses, and Fig. 3 is electrocardio corresponding with Fig. 2
Signal；In Fig. 3, the effective heart magnetic cycle ripple filtered out for hierarchical clustering of solid * marks, the hollow zero presence difference to be removed
The heart magnetic cycle ripple of degree interference.It is adaptively selected to identify the preferable heart of uniformity in waveform for real mcg-signalses
Magnetic cycle ripple, effectively inhibits noise jamming.Fig. 4 is shown as in a specific embodiment clicking through on the basis of with reference to electrocardiosignal R peaks
The original heart magnetic cycle ripple sample schematic diagram of row segmentation.The original heart magnetic cycle ripple sample that Fig. 5 is shown as shown in Fig. 4 passes through hierarchical clustering
The effective heart magnetic cycle ripple schematic diagram chosen.It can be seen that hierarchical clustering can cancelling noise interference figure.Fig. 6 shows mcg-signalses
Different average signal results：Respectively select average result, all direct average result and be removed the flat of part
Result.It is evident that all directly average both average relevances with being removed part are larger, the cycle of interference can shadow
To ring directly averagely cause distorted signals, and the steady mcg-signalses of adaptively selected average result, effectively inhibits interference cycle
Influence, reduce heart magnetic real features.There it can be seen that be directly averaged and be removed the average of part has very on waveform
Big similitude, disturbance are big.Selection average waveform substantially inhibits the influence that external interference is brought, and more really reflects reality
The mcg-signalses feature on border.
Except local low frequency disturbs, mcg-signalses adaptive processing method of the invention is same for other types noise jamming
Sample is applicable, such as pulse, signal burr, local anomaly.Referring to Fig. 7, it is shown as the multicycle measured in a specific embodiment
Mcg-signalses schematic diagram；Fig. 8 is shown as electrocardiosignal schematic diagram synchronous with mcg-signalses shown in Fig. 7 in a specific embodiment.
Shown in Fig. 7 is the true mcg-signalses containing burr signal, and Fig. 8 is corresponding electrocardiosignal, solid * marks in Fig. 8
The effective heart magnetic cycle ripple filtered out for hierarchical clustering, hollow zero heart magnetic cycle ripple disturbed in various degree for the presence that is removed；
Fig. 9 is shown as the original heart magnetic cycle ripple sample that point is split on the basis of with reference to electrocardiosignal R peaks in a specific embodiment and shown
It is intended to.Figure 10 is shown as effective heart magnetic cycle ripple that the original heart magnetic cycle ripple sample shown in Fig. 9 chooses by hierarchical clustering and shown
It is intended to.It can be seen that, hierarchical clustering can reject glitch noise interference.
In another concrete application example, Figure 11 is referred to, is shown as the multicycle heart magnetic letter measured in a specific embodiment
Number schematic diagram；Figure 12 is shown as electrocardiosignal schematic diagram synchronous with mcg-signalses shown in Figure 11 in a specific embodiment.Figure 11
Shown is the true mcg-signalses containing pulse signal, and Figure 12 is corresponding electrocardiosignal.Solid * marks in Figure 12
The effective heart magnetic cycle ripple filtered out for hierarchical clustering, hollow zero heart magnetic cycle ripple disturbed in various degree for the presence being removed；Figure
13 are shown as putting the original heart magnetic cycle ripple sample signal split in a specific embodiment on the basis of with reference to electrocardiosignal R peaks
Figure.Figure 14 is shown as effective heart magnetic cycle ripple signal that the original heart magnetic cycle ripple sample shown in Figure 13 chooses by hierarchical clustering
Figure.It can be seen that, hierarchical clustering can effectively reject impulse noise interference.It follows that made an uproar for difference present in mcg-signalses
Sound type, mcg-signalses adaptive processing method provided by the invention can effectively be identified, and can retain maximum similar
Effective heart magnetic wave shape of degree, average mcg-signalses are made more to press close to actual signal.
The mcg-signalses adaptive processing method of the present invention, is disturbed using hierarchical clustering to reject present in mcg-signalses
Abnormal signal, avoid unnecessary noise and distortion is caused to average signal, reached adaptive during every mcg-signalses of collection
Average function is selected, good suppression has been carried out to noise, hierarchical clustering is carried out by the cluster numbers of determination, obtains maximum phase
Like the heart magnetic cycle ripple of degree, it is averaging processing, the final average signal obtained closer to true heart magnetic.
Figure 15 is referred to, is shown as the module of the mcg-signalses adaptive processing system of the present invention in one embodiment
Schematic diagram.Shown mcg-signalses adaptive processing system 20 includes：Signal acquisition module 21, peak dot extraction module 22, heart magnetic list
Cycle sample forms module 23, presetting module 24 and heart magnetic cycle ripple processing module 25.
The signal acquisition module 21 is obtaining mcg-signalses；
The peak dot extraction module 22 is extracting the R peak dots with reference to electrocardiosignal corresponding with the mcg-signalses；
The heart magnetic single-revolution ripple sample forms module 23 to enter the mcg-signalses according to point on the basis of the R peak dots
The row monocycle is split, to form heart magnetic single-revolution ripple sample；
The presetting module 24 extracts effective heart magnetic to a default cluster numbers and from the heart magnetic single-revolution ripple sample
The default selection condition met needed for cycle；
The heart magnetic cycle ripple processing module 25 by the heart magnetic single-revolution ripple sample to carry out hierarchical clustering, and by default
The cluster numbers the effective heart magnetic cycle ripple for meeting the default selection condition is extracted from the heart magnetic single-revolution ripple sample.
In a specific embodiment of the invention, the heart magnetic cycle ripple processing module 25 is obtaining the effectively heart magnetic cycle ripple
Afterwards, average mcg-signalses also are obtained the effectively heart magnetic cycle ripple to be averaging processing.
In a specific embodiment, the similarity of the default selection condition including heart magnetic cycle ripple reach first threshold and/
Or the quantity of heart magnetic cycle ripple reaches Second Threshold.
In a specific embodiment, the cluster numbers C and heart magnetic cycle wave number N total in the heart magnetic single-revolution ripple sample pass
It is for C≤0.35*N+1.
In a specific embodiment, the cluster numbers C values are 0.35*N+1.
In a specific embodiment, the mcg-signalses are the number of edges at the mcg-signalses whole story both ends for casting out acquired original
According to what is obtained after section.
The mcg-signalses adaptive processing system 20 is system corresponding with the mcg-signalses adaptive processing method
, both technical schemes are corresponding, the description of all about mcg-signalses adaptive processing method, can be applied to this reality
Apply in example, be not added with repeating herein.
In summary, mcg-signalses adaptive processing method of the invention and system, to obtain mcg-signalses；Extraction with
With reference to the R peak dots of electrocardiosignal corresponding to the mcg-signalses；Point is carried out the mcg-signalses single on the basis of the R peak dots
Period divisions, to form heart magnetic single-revolution ripple sample；The heart magnetic single-revolution ripple sample is subjected to hierarchical clustering, and by default poly-
Class number extracts the effective heart magnetic cycle ripple for meeting default selection condition from the heart magnetic single-revolution ripple sample, and to the effectively heart magnetic
Cycle is averaging processing.The present invention can effectively identify the cycle significantly interfered with mcg-signalses, hence it is evident that inhibit extraneous dry
The influence brought is disturbed, more really reflects actual mcg-signalses feature, hierarchical clustering is carried out by the cluster numbers of determination,
The heart magnetic cycle ripple of maximum similarity is obtained, is averaging processing, the final average signal obtained closer to true heart magnetic.So
The present invention effectively overcomes various shortcoming of the prior art and has high industrial utilization.
The above-described embodiments merely illustrate the principles and effects of the present invention, not for the limitation present invention.It is any ripe
Know the personage of this technology all can carry out modifications and changes under the spirit and scope without prejudice to the present invention to above-described embodiment.Cause
This, those of ordinary skill in the art is complete without departing from disclosed spirit and institute under technological thought such as
Into all equivalent modifications or change, should by the present invention claim be covered.
Claims (10)
- A kind of 1. mcg-signalses adaptive processing method, it is characterised in that including：Obtain mcg-signalses；The extraction R peak dots with reference to electrocardiosignal corresponding with the mcg-signalses；The mcg-signalses are carried out monocycle segmentation by point on the basis of the R peak dots, to form heart magnetic single-revolution ripple sample；The heart magnetic single-revolution ripple sample is subjected to hierarchical clustering, and by default cluster numbers from the heart magnetic single-revolution ripple sample Extraction meets effective heart magnetic cycle ripple of default selection condition.
- 2. mcg-signalses adaptive processing method according to claim 1, it is characterised in that to the effectively heart magnetic cycle ripple It is averaging processing, obtains average mcg-signalses.
- 3. mcg-signalses adaptive processing method according to claim 1, it is characterised in that the default selection condition bag The similarity for including heart magnetic cycle ripple reaches first threshold and/or the quantity of heart magnetic cycle ripple reaches Second Threshold.
- 4. mcg-signalses adaptive processing method according to claim 1, it is characterised in that the cluster numbers C with it is described Total heart magnetic cycle wave number N relation is C≤0.35*N+1 in heart magnetic single-revolution ripple sample.
- 5. mcg-signalses adaptive processing method according to claim 1, it is characterised in that the mcg-signalses are to cast out Obtained after the edge data section at the mcg-signalses whole story both ends of acquired original.
- 6. a kind of mcg-signalses adaptive processing system, it is characterised in that the system includes：Signal acquisition module, to obtain mcg-signalses；Peak dot extraction module, to extract the R peak dots with reference to electrocardiosignal corresponding with the mcg-signalses；Heart magnetic single-revolution ripple sample forms module, the mcg-signalses are carried out into the monocycle according to point on the basis of the R peak dots Segmentation, to form heart magnetic single-revolution ripple sample；Presetting module, symbol needed for effective heart magnetic cycle ripple is extracted to a default cluster numbers and from the heart magnetic single-revolution ripple sample The default selection condition closed；Heart magnetic cycle ripple processing module, the heart magnetic single-revolution ripple sample is carried out into hierarchical clustering, and by default described poly- Class number extracts the effective heart magnetic cycle ripple for meeting the default selection condition from the heart magnetic single-revolution ripple sample.
- 7. mcg-signalses adaptive processing system according to claim 6, it is characterised in that the heart magnetic cycle ripple handles mould Block also the effectively heart magnetic cycle ripple to be averaging processing, obtains average mcg-signalses.
- 8. mcg-signalses adaptive processing system according to claim 6, it is characterised in that the default selection condition bag The similarity for including heart magnetic cycle ripple reaches first threshold and/or the quantity of heart magnetic cycle ripple reaches Second Threshold.
- 9. mcg-signalses adaptive processing system according to claim 6, it is characterised in that the cluster numbers C with it is described Total heart magnetic cycle wave number N relation is C≤0.35*N+1 in heart magnetic single-revolution ripple sample.
- 10. mcg-signalses adaptive processing system according to claim 6, it is characterised in that the mcg-signalses are houses Go after the edge data section at the mcg-signalses whole story both ends of acquired original what is obtained.
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112932492A (en) * | 2021-01-29 | 2021-06-11 | 上海跃磁生物科技有限公司 | Method, system, medium, and apparatus for synchronizing a plurality of scan data of a magnetocardiograph |
| CN113974576A (en) * | 2021-12-23 | 2022-01-28 | 北京航空航天大学杭州创新研究院 | Sleep quality monitoring system and monitoring method based on magnetocardiogram |
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| CN112932492A (en) * | 2021-01-29 | 2021-06-11 | 上海跃磁生物科技有限公司 | Method, system, medium, and apparatus for synchronizing a plurality of scan data of a magnetocardiograph |
| CN112932492B (en) * | 2021-01-29 | 2022-08-05 | 上海跃磁生物科技有限公司 | Method, system, medium, and apparatus for synchronizing a plurality of scan data of a magnetocardiograph |
| CN113974576A (en) * | 2021-12-23 | 2022-01-28 | 北京航空航天大学杭州创新研究院 | Sleep quality monitoring system and monitoring method based on magnetocardiogram |
| CN113974576B (en) * | 2021-12-23 | 2022-04-22 | 北京航空航天大学杭州创新研究院 | Sleep quality monitoring system and monitoring method based on magnetocardiogram |
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